Research on multi-sensor data fusion for water quality detection based on evidence theory
In response to the uncertainty associated with sensor data in the fusion of multi-source data for water quality assessment monitoring,a fusion algorithm based on the DS evidence theory has been proposed.This algorithm takes various environmental factors such as ammonia nitrogen content(NH3-N),dissolved oxygen(DO),pH value,and conductivity(CD)that impact water quality as evidence,assigns them reliability discounts,computes a quality function for water quality levels,combines them with other evidence using the DS method,and then employs decision rules based on the fused quality function values to determine water quality categories.Experimental results have demonstrated that the proposed approach is suitable for predicting water quality categories with multi-source monitoring data,enabling the assessment of water quality from uncertain sensor data and improving assessment performance.
万方数据
维普
